{"id":"W2115749054","doi":"10.7202/017241ar","title":"La carrière criminelle : définition et prédiction","year":2005,"lang":"en","type":"article","venue":"Criminologie","topic":"Crime Patterns and Interventions","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Centre for Comparative Criminology","funders":"","keywords":"Predictability; Diction; Criminology; Psychology; Variety (cybernetics); Degree (music); Sociology; Political science; Philosophy; Mathematics; Artificial intelligence; Computer science; Linguistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000359639,0.00007277422,0.00007795485,0.00007117738,0.0002795999,0.00007132322,0.0001482923,0.0001203088,0.00250674],"category_scores_gemma":[0.0001826391,0.00007232031,0.0000926694,0.00006766355,0.0001709771,0.0002491822,0.00003956651,0.0001508215,0.0004763856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001010845,"about_ca_system_score_gemma":0.00005186387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008103703,"about_ca_topic_score_gemma":0.001142452,"domain_scores_codex":[0.9991372,0.0002003728,0.0001426775,0.0001615122,0.0001382005,0.0002200823],"domain_scores_gemma":[0.9996104,0.00009183396,0.00004474056,0.000134921,0.00006276309,0.00005538789],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001470706,0.0003520004,0.003673889,0.00002612248,0.00002647899,0.00001120196,0.01466336,0.00004186136,0.001385442,0.1200122,0.05163875,0.808154],"study_design_scores_gemma":[0.0002616025,0.00008195778,0.02098248,0.00003222829,0.00004724558,0.000004818055,0.01634081,0.00006683355,0.001954602,0.003968862,0.9560662,0.0001923734],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.655704,0.0001545663,0.001245613,0.006288756,0.0003557109,0.0001133477,0.000006911673,0.0002659843,0.3358651],"genre_scores_gemma":[0.9957982,0.0001485004,0.0003596352,0.0004946254,0.0002641511,0.00002377844,0.00001420159,0.000007569175,0.002889318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9044274,"threshold_uncertainty_score":0.9984051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.514228745209487,"score_gpt":0.4936551299041217,"score_spread":0.02057361530536528,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}